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An Elementary Introduction to Statistical Learning Theory
Sanjeev Kulkarni
, Gilbert Harman
Electrical and Computer Engineering
Operations Research & Financial Engineering
Research output
:
Book/Report
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Book
47
Scopus citations
Overview
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Dive into the research topics of 'An Elementary Introduction to Statistical Learning Theory'. Together they form a unique fingerprint.
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Mathematics
Statistical Learning Theory
100%
Philosophy
40%
Pattern Recognition
38%
Machine Learning
37%
Image Recognition
18%
Cognitive Science
17%
Learning Systems
17%
Speech Recognition
17%
What is this
16%
Inductive Inference
15%
Statistical Learning
15%
Boosting
15%
Bayes Rule
15%
Electrical Engineering
15%
Arbitrage
15%
Accessibility
14%
Support Vector Machine
14%
Decision Rules
13%
Psychology
13%
Nearest Neighbor
11%
Probability Theory
11%
Diagnostics
11%
Coverage
11%
Drawing
11%
Reasoning
10%
Computer Science
10%
Neural Networks
10%
Resources
10%
Learning
10%
Human
10%
Engineering
9%
Knowledge
8%
Methodology
8%
Statistics
7%
kernel
7%
Relationships
6%
Demonstrate
6%
Performance
6%
Framework
6%